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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 11 Issue 12, December 2022 | Rating: 3.5 / 10

Dynamic Search Bar for Real-Time Product Generation and Personalization

Venkata Naga Sai Kiran Challa ^[2]

Abstract: In the current digital age, the Web serves as the primary information source for many users. However, the rapid and continuous growth of web content has led to significant information overload, complicating the search process and often yielding irrelevant results. To address these challenges, search engines play a crucial role, and Personalized Information Retrieval Systems (PIRS) are being proposed as a solution. This paper reviews the current state of personalization in information retrieval, detailing its present implementations and exploring relevant research in the field. Several practical case studies were conducted, utilizing various search tools on major websites to observe the application of personalization techniques and analyze their effectiveness. The findings indicate that Google is the search engine most actively applying personalization techniques, followed by Bing, while Yahoo! has yet to fully leverage these methods. The study concludes that personalization is highly significant in the realm of information retrieval, though its implementation is still in nascent stages. Future developments in this field should focus on integrating various personalization techniques to deliver services precisely tailored to users' knowledge and interests.

Keywords: Personalization, information retrieval system, personalized information search, personalized information retrieval, user profiling, techniques, semantic web

Edition: Volume 11 Issue 12, December 2022,

Pages: 1353 - 1362